| Autor: |
Umar Habib Khan, Fazal Wahab Karam, Zain Ahmad Khan, Qudrat Khan, Laiq Khan, Malak Adnan Khan |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 22nd International Multitopic Conference (INMIC). |
| Popis: |
In the past few years, there has been a tremendous increase in the use of renewable energy resources. Solar energy has gained attention among all renewable energy resources due to its low installation and maintenance costs. Photovoltaic (PV) system does not produce any type of pollution. It is totally environmental friendly. Maximum power point tracking (MPPT) is very important in PV system to fetch possible maximum power from the solar array. This paper introduces integral terminal sliding mode control (ITSMC) MPPT techniques to achieve maximum power point (MPP) from PV array under variable environmental conditions and faulty conditions. DC-DC Buck-Boost converter is used in this study. Radial basis function neural network (RBF NN) is used for the generation of reference for proposed nonlinear MPPT control paradigms. The proposed controller performance is tested in MATLAB/Simulink. The stability analysis of the proposed controllers is presented via Lyapunov criterion. Moreover, performance of ITSMC nonlinear control paradigms is verified through comparison with conventional techniques i.e., proportional integral derivative (PID) and perturb and observe (P&O). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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